spBART
spBART separates low-dimensional demographic covariates from high-dimensional molecular features in a semi-parametric probit BART model. The model uses a probit latent-variable formulation for binary multiple myeloma status. The tree compo…
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spBART separates low-dimensional demographic covariates from high-dimensional molecular features in a semi-parametric probit BART model. The model uses a probit latent-variable formulation for binary multiple myeloma status. The tree component captures nonlinear and interactive associations among 5hmC signatures. The parametric component estimates additive linear effects for age, sex, race, and BMI.